His research interests include:

​a) trustworthy large foundation model technologies, addressing critical challenges such as knowledge editing, contextual faithfulness, and safe generation.

b) methodologies for constructing and governing high-quality data, including big graph mining, approximation algorithms, graph compression, and summarization techniques.

     AGI fundamentally requires trustworthy model reasoning and high-quality data. Graph data serves as the foundational structure in numerous critical application domains, characterized by massive scale and intricate interactive relationships. Examples include human interactions in social networks, financial transactions between accounts, and protein interactions within cells.

   The featured works are published on IEEE TKDE, ACM TKDD, and proceedings of top-tier conferences such as AAAI, ACL, CIKM, WSDM, IJCAI and ECML-PKDD. Some of the publications are recognized as ASP-DAC 2010 best paper candicate, and ECML-PKDD 2020 best student DM paper award.

• Visiting Researcher, Dept. of Computer Science, Carnegie Mellon University, 08/2016-08/2017
• Visiting Ph.D. student of the University of California, Los Angeles (UCLA), 09/2006-12/2007
• M.S. and Ph.D. degrees, Dept. of Computer Science & Technology, Tsinghua University, 08/2005-06/2010

He is now a Professor at Institute of Computing Technology, Chinese Academy of Sciences.

He spent his one-year sabbatical at Computer Science Department, Carnegie Mellon University (CMU), as a research scholar. He was hosted and supervised by Professor Christos Faloutsos.

He received his Ph.D. degree from Computer Science & Technology Department, Tsinghua University in 2010, and visited Electronic Engineering Department, University of California, Los Angeles (UCLA) for more than a year as a Ph.D. student. He was hosted and supervised by Professor Lei He. He is in consequence listed as one of the Alumni in Academia by UCLA.

Journals:

[1] Shenghua Liu, Bryan Hooi, Christos Faloutsos, "A Contrast Metric for Fraud Detection in Rich Graphs," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 31, Issue 12, pp. 2235-2248, Dec. 1 2019.

[2] Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng, "Unified Dense Subgraph Detection: Fast Spectral Theory based Algorithms", IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 36, Issue 3, pp. 1356 -1370, 2024.

[3] Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng, "Time Series Anomaly Detection with Adversarial Reconstruction Networks," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 35, Issue 4, 01 April 2023, pp.4293-4306.

[4] Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng, Node Embedding Preserving Graph Summarization , ACM Transactions on Knowledge Discovery from Data (TKDD), Vol 18, Issue 6, No. 145, pp. 1-19, 2024.

[5] Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, and Shenghua Liu, Interrelated Dense Pattern Detection in Multilayer Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE) , Vol 36, Nov. 2024, pp. 6462-6476.

Conferences：

[1] Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng, "SpecGreedy: Unified Dense Subgraph Detection ", In proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Belgium, Sept 2020. (Best student DM paper award)

[2] Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, and Xueqi Cheng, LPNL: Scalable Link Prediction with Large Language Models, In Proc. of the Findings of the Association for Computational Linguistics (ACL), 2024: 3615–3625.

[3] Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, and Xueqi Cheng, SLANG: New Concept Comprehension of Large Language Models, In Proc. of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), 2024.

[4] Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng, Graph Summarization for Preserving Spectral Characteristics , In Proc. of the SIAM International Conference on Data Mining (SDM24), pp. 271- 279, 2024.

[5] Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng, A provable framework of learning graph embeddings via summarization, AAAI Conference on Artificial Intelligence (AAAI) 2023.

[6] Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng. " FlowScope: Spotting Money Laundering Based on Graphs ," Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) 2020.

[7] Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, and Jing Ye. BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series, International Joint Conference on Artificial Intellince (IJCAI) 2019, pp4433-4439.

[8] Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos, SMF: Drift-Aware Matrix Factorization with Seasonal Patterns, In Proc. of the SIAM International Conference on Data Mining (SDM19), 2019.

[9] Shenghua Liu, Bryan Hooi, and Christos Faloutsos, "HoloScope: Topology-and-Spike Aware Fraud Detection," In Proc. of ACM International Conference on Information and Knowledge Management (CIKM), Singapore, 2017, pp.1539-1548.

[10] Bryan Hooi, Shenghua Liu, Asim Smailagic, and Christos Faloutsos, BEATLEX: Summarizing and Forecasting Time Series with Patterns, The European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Macedonia, 2017.

[P1] A FAST ROUTABILITY ESTIMATING METHOD IN VLSI, filing date 6/15/2006 (ZL 200610012271.4), issued date 7/23/2008 (CN 100405379C), by Xianlong Hong, Tong Jing, Shenghua Liu, and Jingyu Xu. (Chinese patent, issued)

[P2] DYNAMIC PUSH FOR TOPOLOGICAL ROUTING OF SEMICONDUCTOR PACKAGES, filing date: June 6, 2008, patent number: 8006216, issue date: Aug. 23, 2011, Guoqiang Chen, Kaushik Sheth, Egino Sarto, and Shenghua Liu.(US patent, issued)

[P3] AN AUTOMATED SOCIAL TAGGING METHOD AND SOCIAL TAG GENERATOR, iling date: 9/7/2011, patent number 201110263798.5, issue data: 03/30/2016, issue number: CN102289514A, Shenghua Liu, Xueqi Cheng, Jiafeng Guo, Yue Liu, Huaming Liao, and Yatao Zhu. (Chinese patent, issued)

[P4] AN OPEN-KNOWLEDGE-BASED SEMANTIC CONCEPT LINKING AND EXTENSION METHOD FOR SHORT TEXT, filing date: 3/15/2013, patent number 201310081984.6, issue date: 4/1/2015, issue number: CN 103150382B, Xueqi Cheng, Shenghua Liu, Yonglei Xiao, Yuanzhuo Wang, and Yue Liu. (Chinese patent, issued)

[P5] AN EVENT EVOLVEMENT ANALYSING METHOD FOR SHORT TEXT, filing date: 3/15/2013, patent number: ZL 201310082990.3, Xueqi Cheng, Shenghua Liu, Fuxin Li, Yuanzhuo Wang, and Yue Liu. (Chinese patent, issued)

[P6] A VISUALIZING METHOD FOR DYNAMIC OPINIONS IN SOCIAL MEDIA, file date: 4/18/2013, patent number: ZL 201310134433.1, Xueqi Cheng, Shenghua Liu, Yatao Zhu, Yuanzhuo Wang, Yue Liu, and Wenjun Zhu. (Chinese patent, filed)

[P7] A REALTIME EVENT FILTERING METHOD AND SYSTEM FOR STREAMING WEB DATA, filing date: 4/19/2013, patent number: ZL 201310136896.1, Xueqi Cheng, Shenghua Liu, Wenyi Qiu, Yuanzhuo Wang, Yue Liu, Yi Mo, and Zhankun Huang. (Chinese patent, issued)

• Outstanding research staff, Institute of Computing Technology, Chinese Academy of Sciences, 2012
• Outstanding dissertation, Tsinghua University, 2010.
• Microsoft Research Asia (MSRA) fellowship, 2009.
• The honor of Academic Rising Star, Dept. of CS&T, Tsinghua Univisity 2009

• Reviewer of IEEE Transactions on Knowledge and Data Engineering(TKDE), ACM Transactions on Knowledge Discovery from Data(TKDD), Chinese Journal of Computers(JSC), Chinese Journal of Computers, etc.
• PC member of The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16).
• Committee member of Social Media Processing of Chinese Information Processing, (2013--present)

• National Science Foundation of China (NSFC, 61772498), Shenghua Liu, Xiaoqian Sun, Xiaona Liu, et al, 2018-2021.
• Beijing Natural Science Foundation (Beijing NSF, 4172059), Shenghua Liu, Wentao Ouyang, et al., 2017-2019.
• National Science Foundation of China (NSFC, 61572467), Shenghua Liu, Pan Du, Dayong Wu, et al, 2016.
• National Science Foundation of China (NSFC, 61202213), Shenghua Liu, Kai Feng, Yanfeng Wang, et al, 2013-2015.
• National Science Foundation of China (NSFC, 61472400), Huawei Shen, Haiqiang Chen, Shenghua Liu, et al, 2015-.
• Participation of tasks from National Grand Fundsamental Research 973 Program of China, "social network analysis and information propagation (No.2013CB329602, 2013CB329606, 2015-2017), and Fundamental Theories and Applications of Web Big Data (No.2014CB340401, 2014.01- ).